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Factors influence students' attitudes toward AI-based innovative solutions

Le Anh-Binh, Bui My-Trinh, Le Bao-Dat

Annals of Computer Science and Information Systems

2022

Vol. 34

21--26

As technology improves, it appears that academic machine instructors will be used in many jobs in future of education. Despite the fact that the existing research does not clearly define the idea of machine lecturers. Nonetheless, given the current era of education, it appears to be critical to begin thinking about this concept. Machine units are technologies with a specific level of agency, suggesting that they will play a specific function in communication. Lecturers are frequently thought of as those who encourage and help others to improve their emotional and learning behavior via data collecting, advancement, and moral shaping. The machine teacher model may be broadly characterized as a technological design that helps and interacts with a person in boosting affective and learning behavior through numerous techniques, as supported by these two notions. In this paper, different factors will be examined to determine whether these will have certain effects on college students attiudes toward AI teaching assistants.